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    PLEASE SCROLL DOWN FOR ARTICLE

    This article was downloaded by: [Society for Psychotherapy Research (SPR)]On: 19 October 2009Access details: Access Details: [subscription number 762317397]Publisher RoutledgeInforma Ltd Registered in England and Wales Registered Number: 1072954 Registered office: Mortimer House,37-41 Mortimer Street, London W1T 3JH, UK

    Psychotherapy ResearchPublication details, including instructions for authors and subscription information:http://www.informaworld.com/smpp/title~content=t713663589

    The Collaborative Interactions Scale: A new transcript-based method for theassessment of therapeutic alliance ruptures and resolutions in psychotherapyAntonello Colli a; Vittorio Lingiardi aa Department of Education, University Carlo Bo of Urbino, Urbino & Faculty of Psychology 1, SapienzaUniversity of Rome, Rome, Italy

    First Published:November2009

    To cite this Article Colli, Antonello and Lingiardi, Vittorio(2009)'The Collaborative Interactions Scale: A new transcript-based method forthe assessment of therapeutic alliance ruptures and resolutions in psychotherapy',Psychotherapy Research,19:6,718 734

    To link to this Article: DOI: 10.1080/10503300903121098URL: http://dx.doi.org/10.1080/10503300903121098

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    The Collaborative Interactions Scale: A new transcript-based method

    for the assessment of therapeutic alliance ruptures and resolutions in

    psychotherapy

    ANTONELLO COLLI & VITTORIO LINGIARDI

    Department of Education, University Carlo Bo of Urbino, Urbino & Faculty of Psychology 1, Sapienza University of

    Rome, Rome, Italy

    (Received 13 July 2008; revised 8 June 2009; accepted 11 June 2009)

    AbstractThe authors present a new transcript-based method for the assessment of therapeutic alliance ruptures and resolutions inpsychotherapy*the Collaborative Interaction Scale (CIS)*and discuss the structure and theoretical background of thescale and the rating procedure. To assess interrater reliability, three raters independently evaluated 32 psychotherapysessions (2,984 patient utterances and 2,984 therapist utterances) using the CIS, which demonstrated good interrater

    reliability (average k0.66.81). In evaluating the relationship between therapist interventions and patient alliance ruptureand collaborative processes, the authors found significant correlations between therapist negative interventions and patientalliance ruptures and among therapist positive interventions, patient collaborative processes, and indirect rupture markers.Results indicate that the CIS is a reliable rating system, useful in both empirical research and clinical assessments.

    Keywords: therapeutic alliance; alliance ruptures; alliance resolutions; collaborative interaction scale; assessment

    The concept of therapeutic alliance emerged histori-

    cally from psychodynamic literature (Freud, 1912/

    1958; Greenson, 1965; Zetzel, 1956) but has been

    found to be crucial in various psychotherapeutic

    approaches. Much of the original research on

    therapeutic alliance focused on providing empiricalevidence of its relationship to the outcome of

    psychotherapy. Although research findings show

    that a strong positive therapeutic alliance is quite

    consistently related to a positive outcome (Horvath

    & Bedi, 2002; Martin, Garske, & Davis, 2000;

    Wampold, 2001), the exact nature of this relation-

    ship needs further investigation.

    Some authors suggest that therapeutic alliance is

    an active agent of the psychotherapy change process

    (Bordin, 1979; Horvath, 1994) and that shifts in the

    collaboration levels can be considered fundamental

    change keys (Safran, Crocker, McMain, & Murray,

    1990; Safran & Muran, 2000a). These fluctuationswere conceptualized in various terms: strains in the

    alliance (Bordin, 1994), weakenings and repairs of

    the alliance (Lansford, 1986), impasses in the

    therapeutic relationship (Elkind, 1992), and ther-

    apeutic alliance ruptures and repairs (or resolutions;

    Safran & Muran, 2000a).

    Several studies have confirmed the existence of a

    rupturerepair pattern and its relationship to im-

    proved therapy outcome (Kivlighan & Shaughnessy,

    2000; Stiles et al., 2004; Strauss et al., 2006). Other

    research found local rupturerepair patterns in 50%

    of the cases but no relationship with outcome(Stevens, Muran, Safran, Gorman, & Winston,

    2007).

    Some studies compared the efficacy of treatments

    focused on alliance rupture and resolution with that

    of other forms of intervention. One study compar-

    ing a specific alliance-focused intervention, brief

    relational therapy, with short-term psychodynamic

    therapy and cognitivebehavioral therapy found

    significant differences in two areas: Brief relational

    and cognitive-behavioral models produced more

    clinically significant change while brief relational

    therapy had significantly lower dropout rates

    (Muran, Safran, Samstag, & Winston, 2005). Otherresearchers evaluated the efficacy of an integrative

    form of cognitive therapy (ICT) for depression

    that incorporates specific strategies for addressing

    alliance ruptures and compared it with a traditional

    cognitive therapy (CT): Effect size estimates

    revealed that ICT patients evidenced greater

    Correspondence concerning this article should be addressed to Vittorio Lingiardi, Department of Dynamic and Clinical Psychology,

    University of Rome, Via Dei Marsi, 78, Rome 00185, Italy. E-mail: [email protected]

    Psychotherapy Research, November 2009; 19(6): 718734

    ISSN 1050-3307 print/ISSN 1468-4381 online # 2009 Society for Psychotherapy Research

    DOI: 10.1080/10503300903121098

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    posttreatment improvement and more clinically

    significant change than CT patients (Constantino

    et al., 2008). Moreover, a number of studies

    indicate that alliance improves when therapists are

    able to focus on the relationship and address

    ruptures nondefensively (for a review, see Safran

    et al., 2002). In a recent study, based on a sample

    of 128 patients randomly assigned to three different

    time-limited psychotherapies for personality disor-ders (cognitive-behavioral, brief relational and

    short-term dynamic) results indicate that lower

    rupture intensity and higher rupture resolution are

    associated with better ratings of the alliance and

    session quality, and lower rupture intensity predicts

    good outcome on measures of interpersonal func-

    tioning, while higher rupture resolution predicts

    better retention (Muran, Safran, Gorman, Samstag,

    Eubanks-Carter, & Winston, 2009). Finally, based

    on available empirical evidence, the repair of

    alliance ruptures has been included in a list of

    promising and probably effective treatment princi-

    ples (Norcross, 2002).The history of alliance research is linked to the

    development of many different measures for its

    assessment (Elvins & Green, 2008; Horvath &

    Bedi, 2002), such as the Penn Helping Alliance

    Scales (Alexander & Luborsky, 1987; Luborsky,

    CritsChristoph, Alexander, Margolis, & Cohen,

    1983), the Vanderbilt Scales (Suh, Strupp, &

    OMalley, 1986), the Working Alliance Inventory

    (WAI; Horvath, 1982; Horvath & Greenberg,

    1989), and the California Alliance Scales (CALPAS;

    Gaston & Marmar, 1994). These tools have demon-

    strated their reliability, with fair to good convergent

    validity (Tichenor & Hill, 1989).

    Although we have a proliferation of instruments

    to assess therapeutic alliance, there is a shortage of

    measures assessing in-session therapeutic alliance

    fluctuation. Only two scales were specifically devel-

    oped for this purpose: the Rupture and Resolution

    Scale (RRS; Samstag, Safran, & Muran, 2000;

    Samstag, Safran, Muran, & Stevens, 2002) and

    the Menninger Alliance Rating Scale (MARS; Allen,

    Newsom, Gabbard, & Coyne, 1984). Although both

    of these measures proved quite reliable (Allen

    et al.,1984; Samstag et al., 2002), they have not

    been further validated. Moreover, the MARS, atranscript-based measure, only furnishes informa-

    tion regarding shifts in patient collaboration. It does

    not describe typologies of collaboration/noncolla-

    boration, and therapist interventions are evaluated

    only considering their form (e.g., confrontation,

    interpretation) and focus (therapeutic relationship

    or not). The RRS does not specifically address

    therapist interventions that contribute negatively to

    the psychotherapy process, nor does it quantify the

    level of collaboration of patient and therapist.

    Finally, as described in its coding manual (Samstag

    et al., 2000), RRS needs both transcribed and

    videotaped sessions.

    A number of studies used self-report alliance

    measures to assess alliance fluctuations and alliance

    ruptures (Kivlighan & Shaughnessy, 2000; Stiles et

    al., 2004; Strauss et al., 2006; Stevens et al., 2007).However, as has been pointed out (Westen &

    Shedler, 1999a, 1999b), these kinds of measures

    can be faulty (a) because of poor self-reflection or

    any type of bias on either the patients or the

    therapists part and (b) because they use a retro-

    spective (postsession) recollection of the session. For

    example, using self-reports, patients could not re-

    member the effort made by the therapist to over-

    come a rupture because they were in an angry state

    after the session; other patients could acknowledge

    with difficulty the idea that the therapist did his or

    her job in creating a negative atmosphere; others

    might simply dissociate emotionally marked rela-tional episodes after the session.

    Traditionally, therapeutic alliance measures such

    as WAI and CALPAS (including in the observer

    versions), which evaluate the therapeutic alliance at a

    macrolevel, seem more suitable for assessing ther-

    apeutic alliance as a general factor related to the

    outcome than for depicting the idiosyncratic inter-

    actional patterns that unfold between patient and

    therapist (Charmann, 2004, p. 18). Because these

    measures can only study shifts between sessions

    rather than within the session itself, some rupture

    events may go undetected (Stevens et al., 2007). In

    short, these methodologies described shifts in

    alliance but did not directly examine in-session

    transactions. We can only infer that ruptures were

    captured by our quantitative method (Strauss et al.,

    2006, p. 344).

    Studying in-session transactions through a micro-

    analytic investigation of the way patient and therapist

    coconstruct their alliance could be a way to detect

    clinically useful guidance regarding the therapeutic

    relationship (Horvath, 2006). Such indicators could

    increase our knowledge of how interventions can

    affect therapeutic alliance (Ackerman & Hilsenroth,

    2001, 2003).In this study, we present a new transcript-based

    method to assess therapeutic alliance ruptures and

    resolutions in psychotherapy along with preliminary

    data on its reliability. Before describing scale struc-

    ture, rating procedure, and research results, we

    present the theoretical and empirical framework on

    which we based the scale construction and develop-

    ment procedure.

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    Theoretical and Empirical Framework

    Alliance Ruptures and Two-Person Psychology. Alli-

    ance rupture is a very slippery concept (Safran &

    Muran, 2006, p. 288). An alliance rupture has been

    defined in various ways: as an impairment or

    fluctuation in the quality of the alliance between

    therapist and client (Safran et al., 1990), a tension or

    breakdown in the collaborative relationship between

    patient and therapist (Safran et al., 2002), a dete-

    rioration in the relationship (Safran & Muran,

    2000b), a problem in the quality of relatedness

    or a deterioration in the communicative process

    (Safran & Muran, 2006). The term has also been

    used to indicate severe disruptions in the therapeutic

    alliance or even momentary and subtle fluctuations

    in the quality of the therapeutic relationship (Safran

    et al., 1990). In our opinion, a particularly clear and

    useful definition of the construct identifies the

    alliance rupture as an impairment or fluctuations

    in the quality of the alliance between the therapist

    and client (Safran et al., 1990, p. 154). The qualityof the therapeutic alliance can be defined as a

    function of the degree of agreement between thera-

    pist and client about the goals and tasks of psy-

    chotherapy that is mediated by the quality of the

    relational bond between therapist and patient

    (Safran et al., 1990, p. 154).

    The concept of alliance rupture and repair implies

    a conceptualization of the therapeutic alliance as an

    important dimension of the therapeutic relationship

    that involves an on-going process of intersubjective

    negotiation (Safran & Muran, 2000a, p. 165). This

    highlights the fact that the alliance is not a static

    variable that is necessary for the therapeutic inter-vention to work but rather a constantly shifting,

    emergent property of the therapeutic relationship

    (Safran & Muran, 2006, p. 288). This kind of

    conceptualization was already present in the work

    of Bordin (1994), who, in contrast to traditional

    psychoanalytic authors, emphasized the negotiation

    of task and goals as important steps in alliance

    building and attaining the strength to overcome

    strains and ruptures (p. 15).

    Safran and Muran (2000a) also provided an

    empirically derived process model of therapeutic

    alliance negotiation in which alliance ruptures arecodetermined by therapist and patient. This model is

    based on a definition of psychotherapy processes and

    therapeutic impasses and resistances in light of a

    two-person psychology. From this point of view, any

    apparent obstruction in the therapeutic process

    must be understood as a function of the interaction

    between the patient and the therapist: For example,

    a patient who has difficulty accessing painful

    emotional material is having difficulty accessing it

    in a specific relational context (Safran & Muran,

    2000a, p. 80). From a relational and interpersonal

    perspective, resistance is interpreted not only as a

    client character issue but also as the product (at

    conscious and unconscious levels) of the interperso-

    nal matrix in which it is produced. Similarly,

    therapist negative contributions to the relationship

    are interpreted not only as a therapist problem but

    also as the product of the interpersonal matrix inwhich they are produced.

    More generally, it should be emphasized that

    therapeutic alliance ruptures (of patient and thera-

    pist) are inevitable aspects of the therapeutic process.

    From an intersubjective perspective, the process of

    ruptures and repairs characterizes all relationships

    and thus the therapeutic relationship as well (Beebe

    & Lachmann, 2002). Although this process can even

    assume the form of severe disruptions in the relation-

    ship, it must be considered as an unavoidable and

    natural feature of the relationship. Of course, the

    features of this process are influenced by, for

    example, patient and therapist personality organiza-tions, relational patterns, and interpersonal

    schemata.

    Patient Contribution to Alliance Ruptures and

    Resolutions. Safran and Muran (2000a), in accor-

    dance with Harpers work, have organized patient

    ruptures into two main subtypes: withdrawal and

    confrontation (Harper, 1989a, 1989b). In withdra-

    wal ruptures, the patient withdraws or partially

    disengages from the therapist, his or her own

    emotions, or some aspect of the therapeutic process

    (Safran & Muran, 2000a, p. 141). Withdrawalmarkers include patient behaviors such as verbal

    disengagement (e.g., changing topic, long silences,

    or use of vague, abstract language) or a mismatch

    between affective expression and narrative content.

    In this kind of marker, the patient indirectly

    expresses disaffection or disagreement about the

    tasks or goals of therapy or about the relationship.

    Withdrawal markers also include patient avoid-

    ance maneuvers, such as skipping from topic to topic

    in such a way as to prevent therapist interventions in

    order to reduce patient anxiety associated with a

    rupture in the alliance. Another maneuver involves

    self-esteem-enhancing operations, in which the cli-ent may attempt to justify or defend him- or herself

    during the process of a rupture as a means of

    boosting a deflated sense of self-worth. As observed

    by Safran et al. (1990), avoidance maneuvers and

    self-esteem-enhancing operations can be considered

    as reflections of what Sullivan (1953) termed

    security operations. Conversely, in confrontation

    ruptures, the patient directly expresses anger,

    resentment, or disaffection with the therapist or

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    some aspect of the therapy (Safran & Muran,

    2000a, p. 141). Examples of this kind of marker

    are most evident in the patients verbal criticisms

    of the therapist, either as a person or in terms of his

    or her professional qualifications. These generally

    appear as hostile or dismissive manners of

    communication.

    Although Safran and Muran (2000a) highlighted

    and explicitly formalized the role of the therapist inthe process of addressing ruptures, they did not view

    the resolution process as a one-sided enterprise: It

    invariably includes the patient willingness to partici-

    pate in a process of collaborative inquiry about the

    nature of the interactive matrix. In some way the

    patient must also be willing and able to step out of

    the enactment in order to begin an exploration of

    what is going on in the therapeutic relationship

    (Safran & Muran, 2000a, p. 145). Other authors

    define patient collaboration as the extent to which

    the patient is bringing in significant issues and

    making good use of the therapists efforts (Allen

    et al., 1984) or as the patients capacity to self-disclose intimate and salient information, to self-

    observe ones reactions, to explore contributions to

    problems, to experience emotions in a modulated

    fashion, to work actively with the therapists com-

    ments, to deepen the exploration of salient themes

    (Gaston & Marmar, 1994, p. 89). These definitions

    share the importance of patient expressions of

    feelings and thought, of significant issues, and of

    reflections or self-observations of his or her conflicts

    and feelings.

    Therapist Contribution to Alliance Ruptures andResolutions. As Strupp pointed out, Major decre-

    ments to the foundation of a good working alliance

    are not only the patients character distortions and

    maladaptive defenses but*at least equally

    important*the therapists personal reactions

    (Strupp, 1980, p. 953). For example, the therapist

    may explore patient negative feelings, such as

    hostility or flirting, in a collaborative way but can

    also respond to these feelings in a complementary

    way or avoid their exploration entirely by shifting the

    focus of investigation. The therapists contribution

    to the therapeutic alliance may be divided into two

    main discernible but interdependent components:relational (e.g., empathy, attunement, warmth) and

    technical (e.g., type of intervention, focus of the

    intervention).

    Several studies suggest that key elements of

    empathy (such as warmth/friendliness, affirming,

    helping, and understanding) are positively associated

    with therapeutic alliance (Ackerman & Hilsenroth,

    2001). Conversely, there is a consensus among

    studies that a poor alliance is related to therapists

    who are not confident in their ability, tired, rigid,

    critical, distant, bored, defensive, or blaming (Acker-

    man & Hilsenroth, 2001), and that these character-

    istics evoke more hostile resistances in patients

    (Marmar, Weiss & Gaston, 1989). Such negative

    therapist states were also present in therapist beha-

    viors related to ruptures in the alliance (Ackerman &

    Hilsenroth, 2001). These results have been con-

    firmed by other research using structural analysis ofsocial behavior (Benjamin, 1984). These studies

    demonstrated that successful outcome cases are

    characterized by a high proportion of therapist

    statements that express understanding, attentive

    listening, and receptive openness (Henry, Schact,

    & Strupp, 1986; Watson, Enright, & Kalogerakos,

    1998). Critical, hostile, and controlling statements,

    on the other hand, are negatively associated with

    good outcomes (Henry et al., 1986; Watson et al.,

    1998).

    The strategic interventions used by the therapist

    may be considered another component of the overall

    alliance. In a review on the relationship betweentherapist interventions and therapeutic alliance,

    several therapist techniques (e.g., exploration, depth,

    accurate interpretation, facilitating expression of

    affect, reflection, attending to patients experience,

    supporting) were found to contribute positively to

    the therapeutic alliance (Ackerman & Hilsenroth,

    2003).

    As observed by Ackerman and Hilsenroth (2003),

    It is interesting to note that the . . . therapists

    significant contributions to the development and

    maintenance of the alliance are similar to the

    features identified as useful in the identification

    and repair of ruptures in the alliance (p. 29). These

    interventions were identified and categorized by

    Safran and Muran (2000a) in general principles of

    intervention and specific principles of communica-

    tion. Some of the general principles are to (a)

    establish a sense of we-ness, (b) emphasize ones

    own subjectivity, and (c) focus on the here and now.

    Some of the specific communication principles are to

    (a) disclose experience or acknowledge ones own

    actions and (b) provide feedback regarding subjec-

    tive experience or perceptions of patient. These

    principles may help therapist and patient resolve a

    therapeutic impasse, stepping outside of the negativerelational cycle that is occurring. For example, by

    establishing a sense of we-ness and framing the

    impasse as a shared experience, the therapist begins

    transforming a rupture into a collaborative effort; for

    example, focusing on concrete and specific aspects

    instead of on general and abstract instances pro-

    motes experiential awareness.

    Therapists may also contribute in a negative way

    to the psychotherapy process through misapplication

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    of the techniques. Misapplication can take the form

    of unyielding attempts to link a patients inappropri-

    ate reactions toward the therapist to earlier con-

    flicted relationships with parental figures (Marmar

    et al., 1989), inflexibility and destructive behaviors

    (Eaton et al., 1993), or a lack of responsiveness to

    explore the patients feelings (Piper et al., 1999).

    Several studies have investigated therapist behaviors

    in cases of unresolved misunderstandings: forexample, inflexible adherence to strategies, being

    hypercritical or unresponsive, giving unwanted

    advice.

    From a different point of view, the therapist degree

    of collaboration may be defined as the quality of his

    or her use of previous patient communications.

    Waldron et al. (2004) consider several variables to

    evaluate therapist activities (e.g., type of interven-

    tion, focus of the intervention). What is important

    for our discussion here is that the quality of the

    intervention is evaluated as the degree to which the

    therapist follows the patients immediate emotional

    focus, intervenes in a way that shows psychologicalcontinuity with previous contributions, is apt in

    content, timely and tactful, and comments in a way

    that makes psychological appeal to the patient

    (Waldron et al., 2004, p. 449).

    In summary, evaluation of therapist activities must

    take in consideration at least two aspects: the quality

    of the intervention (timing, attunement, tactfulness,

    comprehensibility) and the form of the intervention

    (e.g., clarification, confrontation, interpretation).

    Scale Development and Item Derivations

    The Collaborative Interaction Scale (CIS) is the

    result of 8 years of ongoing research and transcript-

    based investigation of therapeutic alliance and

    rupturerepair processes. The first version of the

    scale, formerly known in Italian as IVAT (Indice di

    Valutazione dellAlleanza Terapeutica [Therapeutic

    Alliance Evaluation Index]), was presented at the

    2001 conference of the Italian Society for Psy-

    chotherapy Research (Colli & Lingiardi, 2001).

    The scale has been revised and tested in several

    pilot studies (Colli & Lingiardi, 2002, 2003, 2005,

    2006). Initially, the structure of the scale was defined

    and then single items were selected.In light of the theoretical and empirical findings

    reported in the previous section, we structured the

    scale into two main scales: one for the evaluation of

    patient contributions to the process (CIS-P) and one

    for therapist contributions (CIS-T), each with sub-

    scales. The CIS-P is composed of three subscales

    evaluating patients positive and negative contribu-

    tions: the Collaborative Processes scale, the Direct

    Rupture Markers scale, and the Indirect Rupture

    Markers scale. Similarly, the CIS-T is composed of

    two subscales evaluating therapists contributions to

    the psychotherapeutic process: the Positive Interven-

    tions scale and the Negative Interventions scale. We

    labeled the two main categories of patient ruptures

    direct and indirect (and not withdrawal and

    confrontation as proposed by Safran and Muran)

    because we wanted to stress their descriptive and

    easily recognizable dimension. We give a moredetailed description of the scale in the next section.

    Items and rating criteria have been derived from

    several sources: empirical and clinical literature on

    alliance ruptures, measures of therapeutic alliance,

    qualitative evaluations of psychotherapy session

    transcripts, and comments and suggestions of expert

    clinicians. The list of rupture markers has been

    derived in large part from Safran and Muran studies

    (Safran et al., 1990; Safran, Muran, & Samstag,

    1994), in particular from a list of behaviors asso-

    ciated with rupture states contained in Samstag,

    Safran, and Muran (2004).

    Patient collaborative processes levels were inspiredby the CALPAS definition of patient working

    capacity as the patients capacity to self-disclose

    intimate and salient information, to self observe

    ones reactions, to explore contributions to pro-

    blems, to experience emotions in a modulated

    fashion, to work actively with the therapists com-

    ments, to deepen the exploration of salient themes

    (Gaston & Marmar, 1994, p. 89). The concept of

    collaborative process was organized according to

    Horowitz et al.s (1993) categories of patient ela-

    boration (convey facts, convey emotionality, convey

    significance). A large part of therapist positive

    interventions were derived from Safran and Murans

    (2000a) specific principles of intervention and their

    related clinical examples. These have been included

    because they prove to be particularly useful in

    managing ruptures and building therapeutic alliance.

    Negative therapist interventions were inspired by

    the Vanderbilt Negative Indicator Scale (Suh,

    Strupp, & OMalley 1986). Others were formulated

    reversing Safran and Murans principles of inter-

    ventions (2000a), for example, a therapist who

    distances from the emotional content by minimizing,

    intellectualizing, or talking in a technical jargon

    instead of exploring patients feelings and focusingon his or her concrete experience.

    We obtained a preliminary set of 56 items. Then we

    asked a pool of expert clinicians to code the patient

    rupture items into two major rupture types: direct

    and indirect (Safran & Muran, 2000a). Using this

    preliminary set of items, five expert clinicians (two

    cognitive and three dynamic) coded 16 transcripts

    each from 16 different patients. On the basis of this

    first application, and considering item reliability, we

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    prepared a second version of the scale. This was

    tested on a sample of 65 junior psychotherapists, who

    coded two transcripts of two different patients (one

    session per patient). Finally, we prepared a third

    version of the scale and a new coding manual. This

    last version was tested by three raters, who coded six

    sessions each of three different patients.

    At the end of this process, we selected the most

    salient and reliable items to obtain the present 41-item version of the scale. A pilot study with three

    experienced raters showed a good reliability of the

    present version of the scale, with mean k values of

    .85 for direct rupture markers (DRMs), .71 for

    indirect rupture markers (IRMs), .73 for collabora-

    tive processes (CPs), .81 for positive interventions

    (PIs), and .74 for negative interventions (NIs; Colli

    & Lingiardi, 2007).

    Collaborative Interaction Scale

    The CIS is a rating system for the assessment of

    alliance ruptures and repairs in psychotherapy (for acomplete item list, see Table I). External raters

    conduct their evaluation on transcripts. The coding

    procedure and manual are tailored for transcript

    evaluations, but audiotapes, if available, can be very

    useful for a more detailed evaluation. The CIS is

    composed of two main scales: one for the evaluation

    of patient rupture and collaborative processes, CIS-

    P, and one for the evaluation of therapist positive

    and negative contributions to the therapeutic rela-

    tionship, CIS-T.

    The CIS-P Direct Rupture Markers scale com-

    prises nine items; the Indirect Rupture Markers

    Scale, nine items; and the Collaborative Processes

    Scale, three items. DRMs are characterized by an

    aggressive and accusatory statement of resentment

    or dissatisfaction in regard to the therapist or some

    aspect of the therapy process (Safran et al., 2008).

    Examples of DRMs are when the patient acts in a

    hostile or sarcastic manner, complains heatedly

    about lack of progress, questions or rejects the tasks

    or the goals of therapy, and so on. Examples of IRMs

    are when the patient indirectly expresses a form of

    emotional disengagement from the therapist, from

    some aspect of the therapy process, or from his or

    her internal experience (Safran et al., 2008). Forexample, the patient may skip from topic to topic in

    a manner that prevents the therapist from exploring

    the issue in depth, may respond in an overly

    intellectualized fashion, or may be overcompliant

    or submissive.

    Patient CPs include when the patient brings

    salient and significant themes, shares intimate and

    salient information with the therapist, self-observes

    his or her reactions, or works actively with the

    therapists comments. The patient could give a

    positive contribution to the psychotherapeutic pro-

    cess in various ways: speaking of new and significant

    facts, reflecting on personal feelings, having an

    insight about his or her history, relationships, and

    so on.

    Further descriptions and exemplifications of

    DRMs, IRMs, and CPs are provided in the coding

    manual and also reported next in the RatingProcedure section. In conclusion, we wish to stress

    that when a patient communicates in a collaborative

    way that he or she disagrees with or does not

    understand a therapist comment, this clearly must

    not be considered a rupture marker. Table II shows

    examples of different patient responses to and

    codings for the same therapist intervention.

    The CIS-T Positive Intervention scale is com-

    posed of 12 items that evaluate collaborative and

    repairing therapist interventions. The eight-item

    CIS-T Negative Intervention scale evaluates nega-

    tive contributions of the therapist. We define a PI as

    a therapist intervention that, in relation to previouspatient communications, is emotionally attuned,

    focused on patient experience, and linguistically

    clear. Quality of the intervention is a necesssary

    condition for rating it as positive. We do not consider

    a priori an intervention as positive simply because of

    its form. To be evaluated as positive, a therapist

    intervention may take various forms, such as when

    the therapist focuses attention on the here and now

    of the relationship, reframes tasks/goals of therapy,

    self-discloses countertransference feelings, and so

    on. We define an NI as a therapist intervention that

    is not emotionally attuned, not focused on patient

    concrete experience, or not linguistically clear.Therapist NI can assume several forms, such as

    when the therapist shows hostility, talks in technical

    jargon, seems to impose his or her worldview

    about ethical problems, is critical, and so on.

    Although the CIS is rooted in the psychodynamic

    relational and cognitiveinterpersonal approaches,

    its items are written in a transtheoretical language,

    which makes it useful for researchers from a variety

    of backgrounds.

    Rating Procedure. The basic evaluation unit of the

    CIS is the individual speaking turn of eitherthe patient or the therapist. The rater assesses the

    presence, in each patient utterance, of a DRM,

    IRM, or CP and, in each therapist utterance, of a

    PI or NI. Each patient and therapist utterance is

    also assessed according to a collaboration/noncolla-

    boration score. Rupture intensity and collaboration

    level intensity are evaluated on a 3-point Likert

    scale (for ruptures: 10low rupture intensity; 20

    mid rupture intensity; 30high rupture intensity;

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    Table I. Mean Interrater Reliability (Kappa), Presence, and Intensity Values for Each Item

    Item ka P M SD

    Direct rupture markers

    DRM1: Patient doesnt agree with therapist about therapy tasks or goals .75 4.33 2.92 0.41

    DRM2: Patient criticizes therapist as a person or for his/her competence .89 10.33 2.92 0.35

    DRM3: Patient strongly refuses a therapist inter vention or feels uncomfor table .84 15. 13 2.87 0. 61

    DRM4: Patient complains about lack of progress .88 4.77 2.55 0.71

    DRM5: Patient doubts about current session .71 5.33 2.87 0.62

    DRM6: Patient doubts about being in therapy .79 4.33 2.61 0.45DRM7: Patient complains about parameters of therapy (e.g., session time, fee) .92 5.66 2.71 0. 44

    DRM8: Patient doubts about feeling better .86 4.33 2.63 0.45

    DRM9: Patient is sarcastic toward therapist .68 3.66 2.51 0.35

    DRM .81 3.33 2.91 0.35

    Indirect rupture markers

    IRM1: Patient talks in wordy manner and/or spends inordinate amount of time talking

    about other people and their doings or overly elaborates nonsignificant stories and so on

    .69 36.33 1.06 0.26

    IRM2: Patient changes topic or tangentially answers to therapist inter vention .72 87. 00 1.33 0. 45

    IRM3: Patient short answers to therapist open question .75 89.00 1.66 0.45

    IRM4: Patient denies evident feeling state (e.g., anger, fear, shame) .61 32.33 1.13 0.24

    IRM5: Patient intellectualizes about his/her inner experience .62 115.25 1.25 0.27

    IRM6: Patient alludes to negative sentiments or concerns about therapeutic relationship through

    a thematically linked discussion of out-of-session events or relationships

    .67 6.33 1.66 0.51

    IRM7: Patient interacts in a acquiescent manner .57 23.00 1.13 0.54

    IRM8: Patient uses self-enhancing strategies or self-justifying statements .69 51.00 1.11 0.46

    IRM9: Patient is self-critical or self-blaming .69 67.33 1.13 0.55

    IRM .66 69.66 1.07 0.11

    Collaborative processes

    CP1: Patient talks about new significant fact, introduces a topic or elements within a topic .69 1578.33 1.01 0.31

    CP2: Patient talks about his/her feeling and/or thoughts, makes clear intensity

    or quality of his/her feelings or attitude

    .73 654.33 1.92 0.42

    CP3: Patient talks about meaning of events or connects topic to a topic or to a schema, etc. .76 34.66 2.87 0.33

    CP .72 171.33 1.01 0.31

    Positive interventions

    PI1: Therapist focuses on the here and now of the relationship .66 43.22 2.87 0.34

    PI2: Therapist explores different patient states .65 234.66 1.11 0.33

    PI3: Therapist provides a feedback to the patient .62 91.66 1.13 0.34

    PI4: Therapist suggests a patient emotion .61 236.13 1.13 0.31PI5: Therapist believes that patient is indirectly talking about relationship .69 6.33 2.83 0.27

    PI6: Therapist furnishes an empathic sustain to patient .63 82.00 2.11 0.56

    PI7: Therapist makes a clarification .62 636.13 1.11 0.21

    PI8: Therapist makes a confrontation .61 431.11 1.13 0.34

    PI9: Therapist admits his/her participation in rupture process .75 9.33 2.87 0.31

    PI10: Therapist self-discloses countertransference feelings .74 14.33 2.89 0.24

    PI11: Therapist explains or redefines tasks/goals of therapy .81 83.33 2.89 0.23

    PI12: Therapist makes an interpretation .64 39.67 2.11 0.44

    PI .67 996.37 1.00 0.08

    Negative interventions

    NI1: Therapist seems to impose his/her worldview or gives unwanted advice .61 4.33 1.25 0.45

    NI2: Therapist seems to compete with patient .62 11.66 2.18 0.44

    NI3: Therapist seems to press patient on specific topic .66 12.33 1.80 0.67

    NI4: Therapist seems doubtful about strategies .61 8.11 1.25 0.91NI5: Therapist changes offhand topic .71 4.66 1.60 0.45

    NI6: Therapist intellectualizes or is not focused on patient experience .70 14.66 1.46 0.45

    NI7: Therapist talks in technical jargon .72 10.66 1.6 0.46

    NI8: Therapist is hostile .68 14.33 2.66 0.35

    NI .66 5.33 1.16 0.32

    Note. P0mean presence; M0mean intensity scores; SD0mean SD of intensity scores.aMean kappa values of the three raters on a total of 2,984 patient utterances and 2,984 therapist utterances. Kappas have been calculated

    considering only the agreement on the categories and not on the intensity score. Kappa values were rated as follows:B00poor; 0.200

    slight; .21.400fair; .41.600moderate; .61.810substantial; .811.000almost perfect (Landis & Koch, 1977).

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    for collaboration processes: '10low collaboration;

    '20mid collaboration; '30high collaboration).

    The mean intensity scores are called, respectively,

    patient collaboration level (PCL) and therapist

    collaboration level (TCL).

    Every patient utterance is evaluated in considera-

    tion of both the previous therapist intervention and

    the previous patient

    therapist interactions. To rate apatient utterance, the coder first has to look for the

    broader category that is occurring (DRM, IRM, or

    CP). Once the category is identified and coded, the

    rater looks for the specific occurring behavior (within

    the broader category that is being rated). Once a

    category is coded, all the other behaviors automati-

    cally become coded as not occurring. If the specific

    patient behavior that is occurring is not clearly

    recognizable, the rater assesses only the presence of

    the broader category. First, the rater has to check for

    a DRM; if not present, the rater will consider an

    IRM and only at the end a CP. We tested several

    rating algorithms over the years, and this one provedto be the fastest and most reliable rating procedure.

    After the utterance is coded, raters assess the level

    of collaboration. If the utterance has been coded as a

    rupture, the rater will assign a negative evaluation,

    and if coded as a resolution, a positive intensity

    score. We suggest the following assignations: 3

    when the patient is verbally attacking the therapist or

    the therapy, showing distress in the relationship; 2

    when the patient adopts a passive/aggressive way to

    manifest hostility, for example, using sarcasm or

    adopting avoidance measures in response to thera-

    pist attempts to explore problems in the relationship;1 when the patient partially disengages from the

    psychotherapy process or relationship through mini-

    mizing strategies, such as intellectualization, avoid-

    ance measures, or shifting from relevant topics to

    more peripheral ideas; '3 when the patient relates a

    topic to a topic or a schema to others situations,

    discusses problems in the relationships in a colla-

    borative and reflexive fashion, onnects problems in

    the therapeutic relationship with other significant

    relationships; '2 when the patient clarifies the

    intensity or quality of his or her feelings, discloses

    feelings in relation to a problem in the relationship,

    or brings a new significant topic related to a therapist

    exploration of problems in the relationship; '1

    when the patient clarifies or reports significant new

    topics, explores several elements regarding a signifi-

    cant issue, or introduces elements within a topic.The evaluation of each therapist intervention is

    made in consideration of both the previous patient

    utterance and the previous patienttherapist interac-

    tions. To rate a therapist utterance, the coder must

    first look for the broader category that is occurring

    (NI or PI). The main criteria for the evaluation of

    the quality of an intervention (negative vs. positive)

    are (a) emotional content (e.g., aggressive vs colla-

    borative, as when a therapist responds in a comple-

    mentary manner to patient hostility); (b) focus on

    the concrete experience of the patient (vs. intellec-

    tualization, as when the therapist minimizes the

    emotional content of an interaction to avoid overlyintense feelings; (c) clarity (vs. vague, incomprehen-

    sible interventions, as when the therapist is pressed

    by the patient and this affects the clarity of the

    intervention and its formulation).

    Once the category is identified and coded, the

    rater looks for the specific occurring intervention

    (within the broader category that is being rated). If

    the specific therapist intervention that is occurring is

    not clearly recognizable, the rater assesses only the

    presence of the broader category. First, the rater has

    to check for an NI; if not present, the utterance will

    be automatically rated as a PI.After the utterance is coded, the rater must rate

    the level of collaboration of the therapist interven-

    tion. We suggest the following assignations: 3 when

    the therapist clearly manifests hostility toward the

    patient, is sarcastic or devaluating; 2 when the

    therapist avoids exploring patient negative feelings

    (e.g.,, hostility or inappropriate erotization) if they

    seem to be directed toward him or her or disengages

    through intellectualization during rupture processes;

    Table II. Different Patient Answers/Codings to the Same Therapist Intervention

    Rating Therapist: How was going back home? Comment

    DRM What do you mean? (Screaming) I think it is not relevant to speak

    about it! My problems are the panic attacks not my parents! Who cares

    about going back home?

    Patient strongly refuses therapists intervention and

    seems to disagree with therapist on what is important to

    explore for an understanding of his problems.

    IRM Going back home? Hmm, yes . . . hmm. Well, life is made of going away

    and coming back! Yesterday I went to the new music store near the train

    station. Have you been there?

    Patient withdraws from internal states and tries to

    intellectualize about his experience and to shift the focus

    of the communication.

    CP Well, it was not easy to see my mother. I was very nervous and at thesame time rather absent-minded . . . every time I see my mother I hope

    something can change, to see her happier.

    Patient speaks about his feelings and tries to give anemotional shade to the discourse.

    Note. DRM0direct rupture marker; IRM0indirect rupture marker; CP0patient collaborative process.

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    1 when the therapist partially disengages from the

    psychotherapy process or relationship through in-

    tellectualization of patients suffering or communi-

    cates in an insufficiently clear way; '3 when the

    therapist focuses attention on the here and now of

    the relationship, responds in a collaborative manner

    to patient hostility, stimulates a sense of we-ness; '2

    when the therapist explores different patients states

    and feelings about the relationship during a resolu-tion process, clarifies patients experience, or works

    on patients emotions after the process of resolution;

    '1 when therapist interventions are not explicitly

    addressed to therapeutic alliance but nonetheless

    contribute in a positive way to the psychotherapy

    process.

    Codes are mutually exclusive. A patient utterance

    cannot be rated both as a rupture (DRM or IRM)

    and as a collaborative process (CP), nor can a

    patient rupture be rated at the same time as direct

    or indirect. In the same way, a therapist intervention

    cannot be rated as both negative and positive. If a

    patient sentence contains both elements of colla-boration and rupture*in our experience a not very

    common event*the rater is asked to make a choice,

    considering the relevance of the two aspects in the

    sentence, their sequence, and, if necessary, the

    intention of the previous and the following utter-

    ances. Rarely, in different parts of long sentences or

    in very animated interactions, it is possible to detect

    two categories of the same type (e.g., DRM1 and

    DRM4); in these cases, we suggest rating both

    categories. In this study, however, to stress scale

    reliability for each single item, we asked raters to

    code only the category that was most representativeof the sentence.

    The time needed for the rating process of a 45- to

    50-min transcript depends on the complexity of the

    case and rater experience. The procedure (including

    a preliminary reading of the transcript) takes

    approximately 2 hr per session transcript. A junior

    rater may need 3 hr for a complete evaluation, while

    a senior rater (with at least 3040 rated sessions with

    CIS) may require about 2 hr.

    Qualitative and Quantitative Analysis. The CIS

    furnishes a great deal of information about the way

    patient and therapist construct their collaboration.

    Once the transcript is rated, we have information foreach therapistpatient interaction about the intensity

    of the collaboration of both patient and therapist

    (PCL and TCL) as well as information about the

    typologies of collaboration (patient and therapist use

    of specific rupture markers and interventions).

    The analysis of patient and therapist moment-by-

    moment collaboration levels furnishes information

    about the intensity of the collaboration (negative

    from 1 to 3; positive from '1 to '3), the trend of

    the collaboration during the session, and its positive

    or negative fluctuations. A graphic representation

    (Figure I) is useful for an immediate understanding

    of PCL and TCL.

    The scale also furnishes information about the

    characteristics of the collaboration: the use by the

    patient of specific typologies of rupture or a parti-

    cular therapist style of intervention, the occurrence

    of specific rupture markers in response to therapist

    intervention, and so on. This kind of data can be

    analyzed in different ways, but dynamic factor

    analysis and sequential analysis seem to be the

    most useful because these methodologies provide

    the means to describe the idiosyncratic interaction of

    every patienttherapist dyad.

    Once the evaluation is completed, it is alsopossible to divide the session into several main

    rupture and collaborative interactions. Rupture in-

    teractions are characterized by the presence at least

    of one patient rupture marker or one therapist

    negative intervention. Collaborative interactions are

    Patient Therapist Collaboration Level

    3

    2

    1

    0

    1

    2

    3

    1 8 15 22 29 36 43 50 57 64 71 78

    Collboration

    Level

    PCL

    TCL

    TherapistRupture

    Therapist/PatientCollaborations

    PatientRupture

    TherapistRupture

    Figure I. Graphic representation of patient and therapist collaboration level for each interaction during a session. PCL0patient collabora-

    tion level for each therapistpatient interaction; TCL0therapist collaboration level for each therapistpatient interaction; therapist

    rupture0interaction in which a therapist negative intervention is present; patient rupture0interaction in which a patient rupture marker

    (direct or indirect) is present; y-axis: therapistpatient interaction; x-axis: rupture (3, 2, 1) and collaboration ('1, '2, '3) intensity

    scores.

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    characterized by the presence at least of one patient

    collaborative process and one therapist positive

    intervention (see Figure I for graphic exemplifica-

    tions). The consecutive occurrence of these kind of

    interactions determines the presence, respectively, of

    rupture phases (with more than one rupture inter-

    action) and collaborative phases (with more than one

    collaborative interaction). The two phases may vary

    in both duration (from small phases of two interac-tions to larger phases of many interactions) and

    intensity (from subtle shifts to more significant

    fluctuations in the collaboration level). They can

    also alternate during the session; some sessions may

    present a rapid, ongoing alternation of rupture and

    collaborative interactions that are not organized in

    phases.

    Using a quantitative approach, it is also possible to

    select session interactions in which the collaboration

    level (patient, therapist, or both) shows a significant

    positive or negative shift (e.g., a 1.5 SD) and to

    analyze patient and therapist interaction sequencesthat precede these shifts.

    Although the CIS has been developed to assess

    collaboration fluctuations within sessions, we also

    developed global indexes that can be helpful for a

    quantitative analysis of change over time (e.g.,

    comparing different phases of a treatment): Index

    of Direct Ruptures, Index of Indirect Ruptures,

    Index of Collaborative Processes, Index of Negative

    Interventions, and Index of Positive Interventions

    (IPI; see Table III). All these indexes take into

    consideration the mean frequency (in relation to

    the number of therapistpatient interactions) and themean intensity (mean of the intensities rated for the

    specific categories in the whole session) of a specific

    category (DRM, IRM, PI, and NI). These formulas,

    based on the mean frequency and intensity of

    specific categories within the session, can inform us

    about the main characteristics of the session (e.g.,

    patient and therapist rupture style, global patient

    and therapist collaboration).

    Coding Manual. The coding manual explains the

    scale structure and the rating procedure. Coding

    rules, at least two clinical examples, and the ratingdifferential criteria are presented for each item. In

    drafting this manual, we took inspiration from

    a number of other manuals. For example, the

    Table III. Global indexes for Quantitative Analysis

    Index Formula Comment

    IDR S DRM/S TP interactions) mean

    intensity of DRM)10

    This formula is based on the mean frequency of DRM in a session (total

    number of DRM/total number of interactions) multiplied for the mean

    intensity of DRM. The result must be a multiple of 10 to have a more useful

    and practice range of scores and to increase variance. The scores range from

    030.

    IIR S IRM/S TP interactions) mean

    intensity of IRM)10

    This formula is based on the mean frequency of IRM in a session (total

    number of IRM/total number of interactions) multiplied for the mean

    intensity of IRM. The result must be a multiple of 10 to have a more useful

    and practice range of scores and to increase variance. The scores range from

    030.

    ICP S CP/S TP interactions) mean

    intensity of CP)10

    This formula is based on the mean frequency of CP in a session (total

    number of DRM/total number of interactions) multiplied for the mean

    intensity of CP. The result must be a multiple of 10 to have a more useful

    and practice range of scores and to increase variance. The scores range from

    030.

    IPI S PI/S TP interactions) mean

    intensity of PI)10

    This formula is based on the mean frequency of PI in a session (total

    number of PI/total number of TP interactions) multiplied for the mean

    intensity of PI. The result must be a multiple of 10 to have a more useful

    and practice range of scores and to increase variance. The scores range from

    030.

    INI S NI/S TP interactions) mean

    intensity of NI)10

    This formula is based on the mean frequency of NI in a session (total

    number of NI/total number of TP interactions) multiplied for the meanintensity of NI. The result must be a multiple of 10 to have a more useful

    and practice range of scores and to increase variance. The scores range from

    030.

    Note. IDR0Index of Direct Ruptures; IIR0Index of Indirect Ruptures; ICP0Index of Collaborative Processes; IPI0Index of Positive

    Interventions; INI: Index of Negative Interventions. S DRM: total number of direct rupture markers in the whole session; S TP

    interactions0total number of therapistpatient interactions; S IRM0total number of indirect rupture markers in the whole session; S

    CP0total number of collaborative processes in the whole session; S PI0total number of positive interventions in the whole session; S NI0

    total number of negative interventions in the whole session; mean intensity0mean intensity of each category (DRM, IRM, PI, NI) is the

    result of the sum of the intensity scores assigned to the category in the whole session divided by the number of occurrences of the category.

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    formulation of the rating criteria for IRM4 (Patient

    denies an evident feeling state) and IRM5 (Patient

    intellectualizes about his/her inner experience) was

    inspired by the Defense Mechanism Rating Scales

    coding manual (Perry, 1990). The rating procedure

    for IRM6 (Patient alludes to negative sentiments or

    concerns about the therapeutic relationship through a

    thematically linked discussion of out-of-session events or

    relationships) was partially derived from the PatientExperience of the Relationship with the Therapist

    measure (Gill & Hoffman, 1982). The reflective

    functioning coding manual (Fonagy, Target, Steele,

    & Steele, 1998) helped us to clarify the distinction

    between a high collaboration process of the patient

    (CP3) and a sophisticated intellectualization or use

    of mental states as cliche. Some therapist interven-

    tion rating criteria were also derived from the

    Psychodynamic Interventions Rating Scale (Cooper

    & Bond, 1992).

    A large part of the coding manual is dedicated to

    training exercises. These are presented according to

    an increasing level of difficulty, from short sentencesto whole sessions. Our manual also includes three

    sessions rated and commented on by the authors.

    Method

    Patients. We evaluated 32 session transcripts

    (2,984 patient utterances and 2,984 therapist utter-

    ances) of 16 patients (six men, 10 women; mean

    age029.91 years, SD010.12) in psychotherapy.

    Patients and sessions were chosen randomly from

    our database. First, we randomly selected the cases

    and then randomly selected two sessions for each

    case. All patients were recruited from private prac-tice. We did not have information about outcome

    (outcome evaluations were not performed or avail-

    able). Before entering psychotherapy, all patients

    received a Diagnostic and Statistical Manual of Mental

    Disorders (fourth edition, text revision; American

    Psychiatric Association, 2000) diagnosis. Ten

    patients had at least one Axis II diagnosis: four met

    criteria for borderline personality disorder, two for

    borderline personality disorder and dependent

    personality disorder, one for histrionic personality

    disorder, and three for narcissistic personality dis-

    order with dysthymic features. Six patients had only

    one Axis I diagnosis (three with dysthymia; two with

    obsessivecompulsive disorder; one with major

    depression). All patients signed informed consent

    to participate in the research.

    Therapists. Sixteen therapists (seven cognitive,

    nine psychodynamic), each with at least 10 years of

    clinical experience, participated in the study. The 10

    men and six women were a mean age of 44 years

    (SD08.5). All the psychotherapies were adminis-

    tered once a week and lasted a mean of 95 sessions

    (range: 81156, SD023). The mean number of

    coded session number was 50.71 (SD045.57,

    range: 1123).

    Raters. Three raters blind to study conditions

    rated sessions using the CIS. Raters were postgrad-

    uate clinical psychology students in the third year of

    clinical training and specifically trained in using the

    CIS. Training consisted in studying the codingmanual, participating in group discussions and

    consensus rating of 10 session transcripts, as well

    as homework. Classroom training lasted 16 hr,

    including 2-hr sessions twice a month, in addition

    to the homework. Sessions used for training were not

    included in the study. To partially reduce some rater

    biases (e.g., preferences for a specific psychother-

    apeutic approach, expectations of a better or worse

    session in relation to the diagnosis or phase of the

    therapy), we gave no information about therapies

    and diagnoses.

    Results

    Occurrence and Intensity of Ruptures and

    Collaborative Processes. Mean frequency and intensity

    for each category (DRM, IRM, CP, PI, NI) were

    calculated. Means were calculated by averaging the

    ratings of the three raters across the 32 sessions.

    Table IV shows the frequency and mean intensity for

    each category.

    Patient CPs and therapist PIs were the most

    frequently rated. One hundred percent of the

    sessions contained at least one IRM compared with

    43% for DRMs. NIs were rated in 31% of the

    sessions. The intensity rated for DRMs was greater

    than for IRMs, whereas mean intensity ratings for NI

    were lower than for PI.

    Interrater Reliability. Overall interrater agreement

    between the three raters for PCL and TCL was

    Table IV. Mean Occurrence and Intensity for Session of Patient

    and Therapist Ruptures and Collaborative Processes

    Presence Intensity

    Rating M SD M SD

    DRM 1.86 3.15 2.75 0.47

    IRM 17.79 8.55 1.25 0.38

    CP 73.37 9.23 1.11 0.49

    PI 90.72 9.03 1.93 0.32

    NI 2.69 1.47 1.66 0.51

    Note. Mean presence and intensity have been evaluated calculating

    the mean presence and intensity rated by every rater for every

    session (n032). DRM0direct rupture marker; IRM0indirect

    rupture marker; CP0collaborative process; PI0positive inter-

    vention; NI0negative intervention.

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    evaluated. The data matrix was formed by six

    columns: two for every rater (one for PCL and one

    for TCL). Rows represented therapistpatient inter-

    actions. Interrater reliability was evaluated in 2,984

    patient utterances and 2,984 therapist utterances. To

    evaluate the agreement on collaboration level, we

    used the intraclass correlation coefficient (Shrout &

    Fleiss, 1979). The mean overall interrater agreement

    of the three raters was 0.73 (range: 0.680.78): 0.76for PCL (range: 0.730.78) and 0.68 for TCL

    (range: 0.680.70).

    We were also interested in studying interrater

    reliability for each CIS category (DRM, IRM, CP,

    PI, NI), taking into consideration only the presence

    of the evaluation, not its intensity. Interrater relia-

    bility in this case was evaluated in 2,984 utterances

    (2,984 for patient and 2,984 for therapist) using

    Cohens kappa (Fleiss, 1981). The analysis was

    performed on a classical confusion matrix, using

    one for patient ratings and one for therapist ratings.

    Kappa values were given the following ratings:B00

    poor; 0.200slight; .21.400fair; .41.600mod-erate; .61 .810substantial; .811.000almost per-

    fect (Landis & Koch, 1977). The average interrater

    agreement was rated as almost perfect for the Direct

    Rupture Marker scale (.81) and as substantial for

    both the Indirect Rupture Marker scale (.66) and the

    Collaborative Process scale (.72). Interrater reliabil-

    ity was also substantial for Positive Intervention and

    Negative Intervention scales (.67 and .66, respec-

    tively). Detailed reliability estimates are presented in

    Table I.

    The Relationship between Therapist and PatientCollaboration. We evaluated the relationship between

    therapist intervention (positive and negative) and

    patient rupture markers and CPs (Table V). Results

    indicated a positive correlation between therapist PIs

    and patient CPs as well as between therapist NIs and

    patient ruptures (direct and indirect). These are

    correlational data, however, and at this level of

    analysis we are unable to indicate the causal direc-

    tion of correlations.

    To calculate correlations, we used a data matrix in

    which each row represented a therapistpatient

    interaction and each column a CIS item (e.g., NI1,

    NI2, DRM1, DRM3). Each cell contained a number

    indicating the intensity of each single item (ranging

    from 0 [not coded] to 3). In this way, we simulta-neously considered the presence and intensity of

    each rating. For easier interpretation of the results,

    we changed the sign of the intensity scores of all

    patient ruptures and therapist negative interventions

    (-3 to '3, 2 to'2, 1 to '1).

    PIs were positively correlated with CPs, whereas

    NIs were positively correlated with DRMs and

    IRMs. NIs also correlated negatively with CPs.

    Furthermore, results indicated a positive correlation

    between therapist PI and patient IRMs. For a deeper

    understanding of this correlation, we calculated the

    correlations between all the typologies of therapist

    PIs and patient DRM, IRM, and CP (Table VI).As shown in Table VI, some therapist PIs corre-

    lated exclusively with patient CPs, whereas other

    therapist PIs correlated with patient CPs and DRM

    and/or IRM. Expressive interventions such as PI8

    (Therapist makes a confrontation) and PI12 (Therapist

    makes an interpretation) were more correlated with

    IRM than with CP. Moreover, PI11 (Therapist

    explains or redefines tasks/goals of therapy) appeared

    highly correlated with patient DRM.

    Discussion

    In this study, we (a) presented the CIS for the first

    time, (b) assessed the occurrence of patient ruptures

    and CPs and therapist PIs and NIs, (c) tested scale

    reliability, and (d) evaluated the relationship among

    therapist interventions, patient rupture markers, and

    CPs. In all sessions, at least one IRM was present

    whereas DRMs did not always appear. The mean

    presence per session of IRM was greater than for

    DRM. This result is quite similar to that of another

    study investigating the occurrence of withdrawal and

    confrontation ruptures in session transcripts (Som-

    merfeld, Orbach, Zim, & Mikulincer, 2008). The

    mean intensity score of the Direct Rupture Markersscale was higher than that of Indirect Rupture

    Markers: DRMs are stronger strains in the alliance

    than IRMs. Finally, patient CPs and therapist PIs

    were the most frequent categories. The study did

    not aim to analyze the relationship between CIS

    ratings and other fundamental variables such as

    therapy outcome and patient personality organiza-

    tions. Nevertheless, these are crucial issues for

    future research investigating the relationship among

    Table V. Pearson Correlations between Therapist Positive and

    Negative Interventions and Patient Rupture Markers and Colla-

    borative Processes

    Variable DRM IRM CP

    PI .217 .512* .676*NI .781* .642* (.621*

    Note. N02,984 utterances. Correlations have been calculated

    using Person correlation coefficient. We evaluated the correlations

    considering the intensity score (from 03) for each item of the

    scale. We reversed the intensity scores of all patient ruptures and

    therapist negative interventions (1, 2, 3 in '1, '2, '3).

    DRM0direct rupture marker; IRM0indirect rupture marker;

    CP0patient collaborative process; PI0positive intervention;

    NI0negative intervention.

    *pB.05.

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    outcome, therapeutic approach, diagnosis and rup-

    tures frequency, intensity, and so on.Overall reliability was good and in line with the

    findings of similar measures, such as the Client

    Resistance Code (Watson & McMullen, 2005)

    and the Psychodynamic Intervention Rating Scale

    (Milbrath, Bond, Cooper, Znoj, Horowitz, & Perry,

    1999). Some items proved to be less reliable than

    others, which could be partially due to the raters

    lack of clinical experience. Another factor affecting

    the reliability of these items may be a particular form

    of disagreement, known as the location disagree-

    ment (Luborsky et al., 1983). Some items, for

    example IRM7 (Patient interacts in an acquiescent

    manner), refer more to an interpersonal atmosphere

    than an actual interaction. Therefore, it could be

    difficult to recognize the beginning and the end of

    this marker. Checking the single ratings and focusing

    on IRM7, we realized that the three raters rated

    IRM7 more or less the same number of times

    (frequency) but in different verbal units of the whole

    session.

    Therapist NIs and patient rupture markers

    (DRMs and IRMs) were positively correlated. NIs

    seem to be produced by therapists in very difficult

    moments of the session, a correlation that may

    indicate that the therapist is responding in a defen-sive, noncollaborative way to patient ruptures. (Keep

    in mind that we evaluate therapist interventions as

    the therapists response to the previous patient

    utterances.) At the same time, this association could

    be explained as the effect of these negative interven-

    tions on patient response: From this point of view,

    DRM and IRM could be seen as a product of

    therapist NIs. At this level of analysis, we are unable

    to indicate the causal direction of correlations, that

    is, if the therapist NI provokes a patient rupture

    marker or if it is a consequence of a rupture marker.A circular dynamic is the most probable solution.

    This correlation could also be affected by rater

    expectations insofar as raters are more likely to see a

    rupture after a negative therapist intervention. From

    a methodological point of view, this issue could be

    addressed by using separate raters for patient and

    therapist utterances (one rater blindly evaluates only

    patient utterances and another blindly evaluates only

    therapist utterances). Our coding system is based on

    the concept of therapeutic alliance, however, and

    thus it has been conceived for the evaluation of

    single (patient or therapist) utterances in answer to

    the previous interactions; it could be misleading to

    assess the two contributions separately. Possible

    effects of rater expectations have to be taken into

    consideration, but we realized that good observation

    skills united with adherence to the coding manual

    guidelines can prevent this effect.

    Therapist PIs are significantly correlated with

    patient CPs. This correlation probably describes

    those moments of the therapy in which patient and

    therapist work together in a collaborative atmo-

    sphere: Therapist responds in a collaborative way

    to patient collaboration, which positively affects the

    subsequent patient response.PIs were also correlated with some IRMs and, to a

    lesser degree, with some DRMs. Different explana-

    tions can be given for this phenomenon. For example,

    these correlations may describe therapistpatient

    interactions in which the therapist responds to a

    previous patient rupture communication in a colla-

    borative way. Another explanation could be that these

    interventions may provoke a negative reaction in the

    patient instead of the expected positive one. As

    Table VI. Correlations between Therapist Positive Interventions and Patient Direct Rupture Markers, Indirect Rupture Markers, and

    Collaborative Processes

    Therapist Intervention DRM IRM CP

    PI1: Therapist focuses on the here and now of the relationship .125 .512* .653*

    PI2: Therapist explores different patient states .096 .571* .715*

    PI3: Therapist provides feedback to patient .111 .531* .712*

    PI4: Therapist suggests a patient emotion .096 .631* .688*

    PI5: Therapist believes that patient is indirectly talking about

    relationship

    .649* .756* .145

    PI6: Therapist furnishes an empathic sustain to patient .112 .145 .788*

    PI7: Therapist makes a clarification .095 .212 .675*

    PI8: Therapist makes a confrontation .288 .643* .518*

    PI9: Therapist admits his/her participation in rupture process .078 .434 .618*

    PI10: Therapist self-discloses countertransference feelings .122 .512* .545*

    PI11: Therapist explains or redefines tasks/goals of therapy .698* .455* .325

    PI12: Therapist makes an interpretation .143 .612* .532*

    Note. To obtain a single correlation coefficient, we calculated the correlations between PI and DRM, IRM, and CP for every rating of the

    three raters and then we calculated the overall average correlation. DRM0direct rupture marker; IRM0indirect rupture marker; CP0

    patient collaborative process; PI0positive intervention.

    *pB.05.

    730 A. Colli and V. Lingiardi

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    already observed, at this level of analysis, we are

    unable to indicate the causal direction of correlations,

    in this case if the correlation represents a therapist

    addressing ruptures or, conversely, a patient respond-

    ing with a rupture to something we rated as a PI.

    The fact that therapist PIs may provoke patient

    negative answers is a critical aspect that needs

    further investigation. In this study, we only calcu-

    lated the moment-by-moment correlation: Probably,considering different lags (evaluating the effect of a

    therapist intervention also in relation to a series of

    antecedent and successive patient responses), we

    could obtain more exhaustive information about this

    aspect.

    The aim of this study was to present and explain a

    new measure and to test its reliability. Future

    research must investigate other aspects, such as

    construct and convergent validity. Another relevant

    issue to test will be the relationship between in-

    session ruptures and resolutions (as evaluated by

    CIS) and sessions and therapies outcome. This is a

    critical aspect for us in relation to not only thevalidity of our instrument but also clinical practice.

    As clinicians and researchers, we need more infor-

    mation about what to do and how to address

    therapeutic impasses, particularly in the treatment

    of severe personality disorders, which are character-

    ized by rupture processes more so than other

    pathologies.

    Future research could further develop the Safran

    and Muran model, on which our scale is largely

    based. Some examples are a special focus on

    therapists contributions in order to define more

    detailed rupture models from the therapist perspec-

    tive, studying specific therapist actions that nega-

    tively or positively contribute to the alliance process,

    studying the link between specific kinds of ruptures,

    specific personality disorders, and so on.

    The CIS represents an effort to develop a scale for

    studying alliance ruptures and repair processes

    starting from an analysis of transcripted in-session

    interactions. This is in line with other research

    designed to evaluate the occurrence of ruptures at

    a turn-by-turn conversational level (Watson &

    McMullen, 2005; Sommerfeld et al., 2008).

    Other strategies to evaluate alliance rupture pro-

    cesses are based on the task analytic investigationparadigm proposed by Greenberg (2007) and on the

    idea that it is possible to identify and delineate a

    rupture episode. This strategy could make it possible

    to study some rupture episodes more in detail and

    build process models for resolution ruptures (Asp-

    land, Llewelyn, Hardy, Barkham, & Stiles, 2008;

    Safran et al., 1994). As described in the Qualitative

    and Quantitative Analysis section, CIS is not pre-

    sently conceived for the assessment of rupture

    episodes, even if we can divide the session into

    rupture and collaborative phases once the evaluation

    is completed.

    Before concluding, we should point out that

    evaluating transcripts requires a great deal of energy:

    transcribing sessions, training raters, rating sessions.

    It can be very onerous, so the application of our scale

    is indicated for single-case designs or very small

    samples.As we developed this scale, we also tested scoring

    units larger than one utterance unit (e.g., 5 min,

    one-sixth of a session). Adopting a larger scoring

    unit has its advantages, including for example, a

    reduction in rating time and a probable increase in

    interrater reliability. On the other hand, it can result

    in the loss of some information, especially that

    related to the sequentiality of patient and therapist

    actions. In conclusion, the use of different scoring

    units depends on research aims. For studying

    idiosyncratic interactional patterns, we believe it is

    necessary to adopt a microanalytic level of analysis;

    however, for studying the correlation between rup-ture episodes and outcome, it could be useful to

    adopt a larger scoring unit.

    Several years spent training residents and young

    psychotherapists made us appreciate the utility of the

    CIS as a training tool. In fact, it is a good way to help

    trainees develop their ability to recognize subtle

    rupture episodes.

    At a more general level, the CIS represents an

    effort to bridge the gap between clinicians and

    researchers and to contribute to the development

    of a clinically articulated but empirically grounded

    way of assessing therapeutic alliance and rupture

    repair processes. Indeed, several recent studieshave illustrated the importance of combining quali-

    tative and quantitative methodologies in exploring

    therapeutic relationships (see Bucci, 2005; Kachele

    et al., 2006; Lingiardi, Shedler & Gazzillo, 2006;

    Shedler & Westen, 2006). We believe this approach

    can help the therapist to clarify and articulate what

    happens during the session, which kinds of inter-

    ventions are more effective with a specific patient,

    and which kinds of rupture and resolution dynamics

    are prevalent with that patient in relation to specific

    moments or topics of the therapy. From this point of

    view, the CIS is not only a taxonomy of therapeutic

    alliance ruptures and resolutions but also a tool

    aimed at increasing clinical knowledge of patient

    therapist dynamics and interactions.

    Acknowledgements

    We thank all the junior and senior colleagues who, in

    the course of the years, have been contributing to the

    scale development: all the participants of our clinical

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    seminars on therapeutic alliance assessment, in

    particular the group from Sapienza University of

    Rome (Francesco De Bei, Francesco Gazzillo, Da-

    niela Gentile); Daniela Maggioni and the ASP

    Clinical and Research Group of Milan; the group

    from Padua University (Adriana Lis, Silvia Salcuni,

    Diego Rocco); and the group from Bicocca

    University of Milan (Marta Vigorelli, Mariangela

    Villa, Tiziana Porta). In addition, we thank theanonymous reviewers for their stimulating com-

    ments and suggestions.

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